In this work, we build a large-scale whole abdominal CT multi-organ segmentation dataset, which contains 150 CT volumes and 16 organs annotation. Although, many abdominal organ segmentation datasets and benchmarks have been established, like AbdomenCT-1K [1]}, BTCV [2]}, TCIA [3]}, LiTS [4]}, CT-ORG [5]}, KiTS [6]}, etc, our WORD cover the whole abdominal region and also annotate more organs. We investigate several hot topics based on the WORD and point out some unsolved problems:
